Can AI Transform Patent Vacancies into Innovation Goldmines?

Researchers at Seoul National University of Science and Technology, led by Professor Hakyeon Lee, developed an AI-based patent abstract generator that identifies and describes technology opportunities by analyzing gaps in patent maps. The system uses text embedding inversion to convert patent data into human-readable descriptions of potential innovations. A case study on LiDAR technology demonstrated the tool’s ability to find and detail untapped opportunities in over seventeen thousand patents. The technology aims to provide startups, researchers, and policymakers with accessible innovation forecasting and is being expanded to generate research proposals and patent documents automatically.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.